Programme And Module Handbook
 
Course Details in 2025/26 Session


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Module Title LH Information Theory and Coding
SchoolMathematics
Department Mathematics
Module Code 06 31330
Module Lead Tan Xiaoqing
Level Honours Level
Credits 10
Semester Semester 1
Pre-requisites
Co-requisites
Restrictions Available to only students on the Jinan programmes
Exclusions
Description Information theory and coding comes from effective and reliable communication problems. It is an important discipline that studies selection, access, measurement, transformation, transmission, processing, recognition and application of information. The module provides a theoretical basis for engaging in information science research and applications for the future. The basic concepts and methods of information theory and coding include communications system model, the measurement of information, maximum entropy principle, several non-distorted source encoding methods, discrete channel capacity, discrete channel encoding -- linear error correcting codes, consecutive source rate-distortion function, Gaussian channel model, and so on. The major teaching content of information theory and coding is expounding the fundamental theory about Shannon information theory, specific methods of source encoding, channel encoding, and trying to make information theory and actual practical closely integrated, Students gain a comprehensive and systematic understanding of information theory.
Learning Outcomes By the end of the module students should be able to:
  • To know production, development, application and the latest research results of the information theory
  • To master the basic concept of information metric
  • To understand and master the basic source encode theory
  • To understand the basic concept of the channel and the channel capacity
  • To master the basic channel coding theory, the maximum entropy principle
  • To master several non-distorted source encode method and know the question about distorted source encode of communication network
  • To know the related information theory application
  • To know main points of code theory such as linear error correcting code and cyclic code
Assessment
Assessment Methods & Exceptions Assessment:
Class test and group presentation (40%),
Final examination (60%): a 2 hour examination
Reassessment (where allowed): a 2 hour resit examination (100%).
Other
Reading List